I have limited stat/coding knowledge yet I try to do user clustering using unsupervised method using R.
I have about 2795 observations gained from survey (mixture of categorical and scale questions).
Our purpose is to cluster users in distinctive groups. We've used the questionnaire proven to be effective in its industry.
At first we turned the data as binary format and tried to use EM-algorithm to cluster but the BIC was unreasonable. Through research I've found that trying MCA would be more suitable for this analysis and factorized the dataset for it.
The result seems still vague and I am unable to do the clustering it seems. My assumption is that either we have very similar type of users or the variables are just too many or the data observations are just not enough.
In what approach should I tab into this problem to create distinctive clusters from this results? Any type of tips would be appreciated. Thanks!